Innovative Finance, Navigating the Future Markets
AI-Driven Strategies. Next-Generation Asset Management.
NOVAX ALPHA FUND
Contents
About Us
Core Team
AI Digital Asset Trading Strategy
AI Gold Trading Strategy
Competitive Advantages
Structure
Fund Flow & Subscription
Market Opportunities
Capturing Global Trends, Unlocking
Secondary Market Opportunities
The global digital asset management market is expected to reach USD 11.94 billion by 2030, growing at a steady compound annual growth rate (CAGR) of 16.2% from 2024 to 2030.
In 2025, the global secondary market reached a new all-time high, with trading volume surging to USD 240 billion - an annual increase of 48%. This performance not only exceeded market expectations but also set a historic record.
Gold delivered an exceptional performance in 2025, rising by more than 60%, marking its strongest annual gain in decades.
China’s equity market outperformed globally in 2025. Goldman Sachs forecasts that the MSCI China Index will rise by 20% to 100 points by the end of 2026, while the CSI 300 Index is projected to increase by 12% to 5,200 points.
About NOVAX
Committed to Delivering Stable Long-Term Returns
Novax Alpha Fund
The Novax Alpha Fund is a quantitative investment fund focused on global secondary markets. It utilizes AI-driven quantitative strategies and systematic trading models, supported by a Singapore-compliant fund structure and a robust risk management framework, to deliver stable, transparent, and long-term growth-oriented returns for qualified investors.
Singapore VCC Fund
Novax Alpha Fund
Global Presence
Building a Multi-Asset and Strategy Ecosystem
Cayman Fund
Aegis Fund SPC
China Fund
Zhengzhou Xinhai Asset Management Co., Ltd.
U.S. AI Technology R&D
Aegis Fintech Ltd.
Hong Kong Securities�Bluestone Securities
Global Presence
Building a Multi-Asset and Strategy Ecosystem
Aegis Fund SPC
Established in the Cayman Islands as an SPC, Aegis Fund SPC offers institutional investors access to secondary markets, digital assets, and RWAs through diversified, AI-driven multi-portfolio strategies.
Meyzer Capital Management
Licensed by MAS, Meyzer Capital Management specializes in global alternative investments, delivering strong returns, disciplined risk management, and deep market insights through a client-focused approach.
Investment Manager
Novax Alpha Fund
A quantitative fund focused on global secondary markets, using AI-driven strategies and systematic trading to deliver stable returns and long-term growth within a Singapore-compliant, risk-managed framework.
Bluestone Securities (Hong Kong) Limited
Licensed by the Hong Kong SFC, the firm safeguards client assets via third-party custody while offering professional securities trading and custody services.
Zhengzhou Xinhai Asset Management Co., Ltd.
Founded in 2014, Zhengzhou Xinhai Asset Management Co., Ltd. is an AMAC-registered private fund manager focused on fund operations and delivering stable investor returns.
Core Team
Management Team
Louis Liu
10 years of trading and market-making experience
Proven track record of consistent revenue generation; Fund Manager of Novax
Ben
Bachelor’s in Finance, National University of Singapore
CFA Charterholder, former Senior Analyst at Huobi
Previously with DBS Bank and Société Générale
Daniel Xu
Master’s in Finance, Bachelor’s in Computer Science
Financial Analyst and Web3 investor
Fund Manager
Aloysius�MBA, Bachelor’s in Computer Science
Singapore-based hedge fund manager
Recipient of the Singapore FinTech Elite Award
Constance
Master’s in Statistics
8 years of experience in risk assessment and management
Responsible for designing and optimizing risk strategies
Amilly
6 years of experience in client relationship management
Specializes in strategic client engagement and retention
Rose Wang
Senior investor specializing in primary and secondary markets, with investments across AI, semiconductors, biotechnology, and new energy sectors.
Jason Tan
An entrepreneurial wealth strategist specializing in long-term asset allocation and risk management, with global perspective and experience in early-stage Web3 investments.
Kenneth Lim�With 18 years in corporate management and 5 years in AI software, Kenneth helps organizations accelerate digital transformation through AI-driven business strategies.
Core Team
Strategy Algorithm Team
Kun Shen
Bachelor’s degree in Computer Science and Statistics from the University of Toronto, Master’s in Machine Learning; former algorithm engineer at Intel, specializing in ML/RL model development and strategy optimization for quantitative trading.
CY Liang
Bachelor’s degree in Economics and Mathematics from the University of Pennsylvania; Quantitative trader at Susquehanna (SIG). Led a quant team from 2023 to 2025, focusing on A-share futures and crypto asset strategies.
Ray Hu
Bachelor’s degree from Ross School of Business, University of Michigan; Master’s in Risk Management from Columbia University; former risk analyst at Allianz New York, specializing in strategy risk control and position management system design.
Jack Chen
Graduate of NYU Stern and MIT (Master’s in Finance); former options trader at Citadel Securities in New York, specializing in order book strategies and macro factor research.
FZ Lu
Bachelor’s degree from NYU Stern, Master’s in Financial Mathematics from MIT; currently Professor of Finance at the University of Hong Kong, specializing in FinTech and digital assets.
AI Digital Asset Trading Strategy
Digital Assets, Equities, and Other Secondary Markets�Based on a Variant SAC Reinforcement Learning Model
The AI Digital Asset Trading Strategy is an AI-driven mid-frequency trading system powered by reinforcement learning and market sentiment analysis. It interprets market microstructure and capital flows in real time to optimize decisions, delivering efficient, low-risk strategies.
Built on a Soft Actor-Critic (SAC) framework, it processes high-frequency data to dynamically adjust pricing and positions. With continuous learning, the system adapts to changing markets while maintaining stability and performance.
AI-Driven
Core Market Factors
Momentum
The AI evaluates trend strength in real time - expanding positions during strong momentum and reducing exposure when momentum weakens - thereby dynamically optimizing strategy performance.
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Volatility
The system predicts market volatility in real time and adjusts bid-ask spreads and liquidity strategies accordingly. Its short-term volatility prediction accuracy exceeds 92%.
Volume
AI monitors trading volume and capital flows, dynamically adjusting position sizing and order density based on market liquidity to enhance market-making efficiency and risk control.
Order Book
By analyzing order book depth and bid-ask structure in real time, the AI dynamically refines order placement strategies to improve pricing precision and liquidity management.
Three Core AI Quantitative Strategy Modules
AI Module (Variant SAC Reinforcement Learning Model)
The system continuously optimizes trading strategies through reinforcement learning, automatically adjusting pricing and position allocation across changing market conditions.
Soft Actor-Critic (SAC)
An advanced reinforcement learning algorithm that uses entropy maximization to improve exploration, balancing return optimization with effective risk control in dynamic markets.
AI Timing Identification Module (Statistical Anomaly Detection)
This module uses statistical models and anomaly detection to identify abnormal market conditions and arbitrage opportunities, improving trade timing.
By tracking liquidation events, volume spikes, and price deviations in real time, it detects anomalies and enables optimized entry, exit, and position adjustments.
AI Macro & Sentiment Monitoring System
The system analyzes macro data, news, social sentiment, and capital flows to build multi-dimensional indicators that support trading decisions and risk management.
By combining macro analysis, NLP, and machine learning, Novax AI converts global events and sentiment shifts into quantitative signals, enhancing market insight and risk control.
AI Digital Asset Trading Strategy
Digital Assets, Equities, and Other Secondary Markets�Based on a Variant SAC Reinforcement Learning Model
Strategy Effectiveness
Digital Assets, Equities, and Other Secondary Markets
AI Digital Asset Trading Strategy
The AI-driven quantitative trading system operates across multiple markets, including gold, digital assets, and equities.
By analyzing price data, order books, volume, macro factors, and sentiment, it continuously learns and refines its models.
AI identifies market shifts and opportunities in real time, while automated execution ensures efficient strategy deployment - enhancing consistency and performance across diverse market conditions.
AI-Driven Quantitative Framework
Cross-Market Quantitative Engine
Gold, digital assets, and equity markets
AI Arbitrage Strategy
Objective: Deliver low-risk, stable returns
AI Trend Strategy
Objective: Maximize return potential
AI Spread Yield Strategy
The model integrates machine learning and statistical analysis, combining global market data, macro indicators, and price behavior into a unified AI-driven framework. Through automated, high-speed execution, it identifies opportunities and optimizes strategies in real time - enhancing efficiency, robustness, and risk management.
Strategy Performance Overview
Bitcoin Historical Trading Record�2025/08/03 - 2026/07/05｜ Total Return: 141.39%
AI Gold Trading Strategy
Enhancing Gold Investment Decisions with AI
Developed exclusively for a Singapore private fund, the AI-Powered Gold Strategy Module focuses on capturing high-probability opportunities within 1–2 hour trading cycles through a fully integrated AI-driven quantitative trading framework.
Multi-Source Market Intelligence
The platform integrates MT5 gold futures, macroeconomic indicators, order flow, financial news, research reports, and global market sentiment to generate comprehensive quantitative market insights.
AI Forecasting Engine
Powered by LSTM, XGBoost, and Transformer models, the engine analyzes price action and market dynamics to forecast short-term trends, volatility, and market risk with high precision.
Intelligent AI Orchestration
A proprietary AI engine seamlessly coordinates data processing, model execution, strategy selection, and trade execution, enabling reliable 24/7 automated operations.
Quantitative Strategy Library
A comprehensive strategy library covers trending, ranging, hedging, and risk management scenarios, with every strategy validated through rigorous backtesting and live market performance.
AI Decision & Risk Engine
By combining market sentiment with AI-driven technical analysis, the system automatically selects the optimal trading strategy while applying dynamic risk controls to deliver consistent, risk-adjusted returns.
Strategy Positioning
AI Gold Trading Strategy
Focused on Short-Term Global Gold Trading
Specializes in identifying high-probability trading opportunities within 1–2 hour timeframes, capturing returns in highly liquid and volatile gold markets.
Multimodal AI Intelligence
Integrates macroeconomic data, market sentiment, price-volume trends, and order flow analytics to build a comprehensive view of market conditions.
Dual-Engine Decision Framework
Combines fundamental analysis with technical forecasting to enhance trade accuracy, confidence, and execution consistency.
Institutional-Grade Intelligent Trading System
Delivers a fully automated closed-loop trading framework, covering data acquisition, AI-driven analysis, strategy generation, automated execution, and risk management.
Five Core Modules
AI Gold Trading Strategy
Multi-Source Intelligent Data Platform
AI Deep Learning Prediction Engine
AI Intelligent Orchestration Center
Comprehensive Strategy Library
AI Decision & Risk Management
Core Competitive Advantages
AI Gold Trading Strategy
AI-Native Quantitative Architecture
An end-to-end AI-driven framework that automates data collection, market analysis, strategy generation, and trade execution, minimizing manual intervention while maximizing efficiency.
Multi-Dimensional Data Integration
Combines macroeconomic data, financial news, social sentiment, order flow, and technical indicators to create a comprehensive and data-driven market view.
Proprietary AI Prediction Models
Purpose-built for short-term gold trading, with continuous learning capabilities that enhance forecast accuracy and strategy performance.
Intelligent Strategy Management
Automatically adapts and optimizes trading strategies based on market trends, volatility, and changing risk conditions.
Institutional-Grade Risk Management
Integrates dynamic position management, stop-loss, take-profit, drawdown control, and risk monitoring to meet institutional asset management standards.
XAUUSD Historical Trading Statistical Analysis
Annualized Return: 326.41%
Strategy Performance Overview
Singapore VCC fund structure, strictly compliant with MAS regulations + Cayman umbrella fund structure with a multi-layered setup, legally compliant and flexible
Regulatory Structure
Comprising top-tier Russian mathematicians and finance professionals from leading U.S. institutions
Professional Team
AI & big data driven, powered by artificial intelligence
Quantitative Model
Multi-layered risk management with real-time monitoring of positions and capital
Risk Management System
A multi-asset allocation across equities, gold, foreign exchange, and digital assets to hedge risk.
Diversified Investment
Competitive Advantages
Professional + Technology
Fund Objective
Structure
Fund Product
Fund Name | NOVAX ALPHA FUND |
Investment Strategy | A-shares, Hong Kong equities, U.S. equities, gold, and digital assets |
Characteristics | Globally diversified asset allocation, portfolio diversification, risk hedging, and regulatory compliance |
Place of Registration | Singapore |
Fund Manager | Meyzer Capital Management Pte. Ltd. |
Fund Advisor | Novax Fund Management Pte. Ltd. |
Fund Audit | Robin Chia PAC |
Fund Admin | AlfaR Fund Services (Singapore) Pte. Ltd。 |
Legal Advisor | Bayfront Law LLC |
Regulator | Singapore MAS，NOVAX ALPHA FUND：T25VC0176J-SF001 |
Custodian | UOB Kay Hian Private Limited |
Min. Subscription | 100,000 |
Fees | Class A Participating Shares�Management Fees：2%，Subscription Fees：1%，Redemption Fees 2%，�Performance Fees： Annualized Return 0%–50%：30%� Annualized Return 50%–100%：40% � Annualized Return >100%：50% ��Class B Participating Shares�Management Fees：1.5%，Subscription Fees：1%，Redemption Fees 1%，�Performance Fees：Annualized Return 0%–50%：20%� Annualized Return 50%–100%：30% � Annualized Return >100%：40% |
Liquidity | Lock-up Period: 12 months, Settlement Cycle: Quarterly, Early Redemption Fee: 3% |
Currency | USD / USDT / USDC |
Closed-end fund flow management
Directional outflow
Investors
Custodian Bank
Regulated Accounts
Licensed Brokers
Directional inflow of investment funds
Directional outflow
Principal + Investment profits
Partial Investment Profits
Fund Management Company
Fund Flow Management
Required Subscription Documents (Personal)
Innovative Finance, Navigating the Future Markets
AI-Driven Strategies. Next-Generation Asset Management.
NOVAX ALPHA FUND